Periodic solutions of nonautonomous cellular neural networks with impulses and delays

By using the continuation theorem of coincidence degree theory and constructing suitable Lyapunov functions, we study the existence, uniqueness and global exponential stability of periodic solutions for nonautonomous cellular neural networks with impulses and delays. Further, using the numerical simulation method the influence of the impulsive perturbations on the inherent oscillation is investigated. The numerical simulation shows that our models can occur in many forms of complexities including periodic oscillation and Gui chaotic strange attractor.